I'm an operator, founder, and builder. I started automating operational work in the early 1990s, long before I thought of what I was doing as a particular kind of career. Since then I've built companies and products, established operating and financial systems, led enterprise change, and spent eight years as CEO of a globally distributed infrastructure company.
I tend to work where the boundaries are unclear: between strategy and execution, products and their technical dependencies, people and systems, and new capabilities and the organizations trying to use them.
Today I'm building Cirdia, where I work hands-on across software, AI systems, privacy architecture, and company operations. Much of my current work is about human + AI operating models: what machines should do, where human judgment changes the outcome, and how the availability of increasingly capable AI changes the way we design companies and work.
Privacy remains another through-line in my work. I co-created the Cryptographic Autonomy License, build privacy-preserving infrastructure, and write and speak about the relationship between technology, personal data, and human agency.
What I keep coming back to
Software encodes the values of the people who write it. That has always been true. What is new is that AI now sits between us and almost every interaction we have with our information, our health, our work. The systems doing the inferring are trained on a corpus that systematically underrepresents women: our voices, our bodies, our experience. The prompts shaping how those systems answer are written, overwhelmingly, by people who do not know what they do not know.
So I keep asking: who is writing the prompts? Whose lived experience is the design centering? What assumptions are quietly encoded in the infrastructure we treat as neutral?
These are not abstract questions. They show up in whether a wellness app stores your cycle data on a server you cannot reach. They show up in whether a wearable returns your data to you or sells it to an advertiser. They show up in whether AI talks down to women about their own bodies because the corpus it learned from did.
I have been watching patterns for a long time. The pattern I am most interested in right now is the one between who builds the technology and who lives inside its consequences. I am currently opening conversations about what a women's wellness AI cooperative could look like, and who would build it.